Peter Thomas While

About

I am a magnetic resonance physicist at the Department of Radiology and Nuclear Medicine at St. Olav's Hospital, and an associate professor at the Department of Circulation and Medical Imaging at the Norwegian University of Science and Technology (NTNU).

I apply advanced tools from applied mathematics for the methodological development of MRI system design, operation and data processing. My research interests include: MR physics, pulse sequencing and image reconstruction; post-processing techniques and parameter estimation, especially within diffusion MRI; novel hardware design (gradients, shims, RF coils, microsystems); electromagnetic and thermodynamic modelling; optimization techniques, and deep-learning-based applications in MRI.

A full list of published journal articles can be found on my Google Scholar page (incl. pre-2016).

Research

Deep learning cancer diagnostics from diffusion-weighted magnetic resonance imaging

FRIPRO 302624 (Research Council of Norway). Group members: Peter T. While (PI); Frank Zijlstra (postdoc; 2020-2024); João P. de Almeida Martins (postdoc; 2020-2021); Sumit Kaushik (postdoc; 2022-2025); Misha P.T. Kaandorp (PhD candidate; 2020-2023).

Publications

Note: The publications below are retrieved automatically from the Cristin database and show only up to the first six authors. A full list of published journal articles can be found on my Google Scholar page (incl. pre-2016).

2025

Kaandorp, Misha Pieter Thijs; Zijlstra, Frank; Karimi, Davood; Gholipour, Ali; While, Peter Thomas. (2025) Incorporating spatial information in deep learning parameter estimation with application to the intravoxel incoherent motion model in diffusion-weighted MRI. Medical Image Analysis
Academic article

2024

Berg, Erik Andreas Rye; Fiorentini, Stefano; Avdal, Jørgen; Grenne, Bjørnar Leangen; Stensæth, Knut Haakon; While, Peter Thomas. (2024) Quantification of valvular regurgitation by transthoracic 3D high pulse repetition frequency Doppler echocardiography. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
Academic article
Zijlstra, Frank; While, Peter Thomas. (2024) Deep-learning-based image reconstruction with limited data: generating synthetic raw data using deep learning. Magnetic Resonance Materials in Physics, Biology and Medicine
Academic article

2023

Kaandorp, Misha Pieter Thijs; Zijlstra, Frank; Federau, Christian; While, Peter Thomas. (2023) Deep learning intravoxel incoherent motion modeling: Exploring the impact of training features and learning strategies. Magnetic Resonance in Medicine
Academic article

2022

Meissner, Markus V; While, Peter Thomas; Mager, Dario; Korvink, Jan G.. (2022) Microscale nuclear magnetic resonance gradient chip. Journal of Micromechanics and Microengineering (JMM)
Academic article

2021

Martins, Joao Pedro de Almeida; Nilsson, Markus; Lampinen, Björn; Palombo, Marco; While, Peter Thomas; Westin, Carl-Fredrik. (2021) Neural networks for parameter estimation in microstructural MRI: Application to a diffusion-relaxation model of white matter. NeuroImage
Academic article
Kaandorp, Misha Pieter Thijs; Barbieri, Sebastiano; Klaassen, Remy; Laarhoven, Hanneke W. M. van; Crezee, Hans; While, Peter Thomas. (2021) Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients. Magnetic Resonance in Medicine
Academic article

2019

Billdal, Daniel Chen; While, Peter Thomas; Selnæs, Kirsten Margrete; Sunoqrot, Mohammed; Langørgen, Sverre; Bertilsson, Helena. (2019) Relative enhanced diffusivity in prostate cancer: Protocol optimization and diagnostic potential. Journal of Magnetic Resonance Imaging
Academic article
Vidic, Igor; Jerome, Neil Peter; Bathen, Tone Frost; Goa, Pål Erik; While, Peter Thomas. (2019) Accuracy of breast cancer lesion classification using intravoxel incoherent motion diffusion‐weighted imaging is improved by the inclusion of global or local prior knowledge with bayesian methods. Journal of Magnetic Resonance Imaging
Academic article

2018

While, Peter Thomas; Meissner, Markus V; Korvink, Jan G.. (2018) Insertable biplanar gradient coils for magnetic resonance microscopy: Theoretical minimization of power dissipation for different fabrication methods. Biomedical Engineering & Physics Express
Academic article
While, Peter Thomas. (2018) Advanced Methods for IVIM Parameter Estimation.
Chapter

2017

Spengler, Nils; While, Peter Thomas; Meissner, Markus V; Wallrabe, Ulrike; Korvink, Jan G.. (2017) Magnetic Lenz lenses improve the limit-of-detection in nuclear magnetic resonance. PLOS ONE
Academic article
While, Peter Thomas; Teruel, Jose Ramon; Vidic, Igor; Bathen, Tone Frost; Goa, Pål Erik. (2017) Relative enhanced diffusivity: noise sensitivity, protocol optimization, and the relation to intravoxel incoherent motion. Magnetic Resonance Materials in Physics, Biology and Medicine
Academic article
While, Peter Thomas. (2017) A comparative simulation study of bayesian fitting approaches to intravoxel incoherent motion modeling in diffusion-weighted MRI. Magnetic Resonance in Medicine
Academic article

2016

MacKinnon, Neil; While, Peter Thomas; Korvink, Jan G.. (2016) Novel selective TOCSY method enables NMR spectral elucidation of metabolomic mixtures. Journal of magnetic resonance (San Diego, Calif. 1997 : Print)
Academic article

Journal publications

Kaandorp, Misha Pieter Thijs; Zijlstra, Frank; Karimi, Davood; Gholipour, Ali; While, Peter Thomas. (2025) Incorporating spatial information in deep learning parameter estimation with application to the intravoxel incoherent motion model in diffusion-weighted MRI. Medical Image Analysis
Academic article
Berg, Erik Andreas Rye; Fiorentini, Stefano; Avdal, Jørgen; Grenne, Bjørnar Leangen; Stensæth, Knut Haakon; While, Peter Thomas. (2024) Quantification of valvular regurgitation by transthoracic 3D high pulse repetition frequency Doppler echocardiography. European Heart Journal – Imaging Methods and Practice (EHJ-IMP)
Academic article
Zijlstra, Frank; While, Peter Thomas. (2024) Deep-learning-based image reconstruction with limited data: generating synthetic raw data using deep learning. Magnetic Resonance Materials in Physics, Biology and Medicine
Academic article
Kaandorp, Misha Pieter Thijs; Zijlstra, Frank; Federau, Christian; While, Peter Thomas. (2023) Deep learning intravoxel incoherent motion modeling: Exploring the impact of training features and learning strategies. Magnetic Resonance in Medicine
Academic article
Meissner, Markus V; While, Peter Thomas; Mager, Dario; Korvink, Jan G.. (2022) Microscale nuclear magnetic resonance gradient chip. Journal of Micromechanics and Microengineering (JMM)
Academic article
Martins, Joao Pedro de Almeida; Nilsson, Markus; Lampinen, Björn; Palombo, Marco; While, Peter Thomas; Westin, Carl-Fredrik. (2021) Neural networks for parameter estimation in microstructural MRI: Application to a diffusion-relaxation model of white matter. NeuroImage
Academic article
Kaandorp, Misha Pieter Thijs; Barbieri, Sebastiano; Klaassen, Remy; Laarhoven, Hanneke W. M. van; Crezee, Hans; While, Peter Thomas. (2021) Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients. Magnetic Resonance in Medicine
Academic article
Billdal, Daniel Chen; While, Peter Thomas; Selnæs, Kirsten Margrete; Sunoqrot, Mohammed; Langørgen, Sverre; Bertilsson, Helena. (2019) Relative enhanced diffusivity in prostate cancer: Protocol optimization and diagnostic potential. Journal of Magnetic Resonance Imaging
Academic article
Vidic, Igor; Jerome, Neil Peter; Bathen, Tone Frost; Goa, Pål Erik; While, Peter Thomas. (2019) Accuracy of breast cancer lesion classification using intravoxel incoherent motion diffusion‐weighted imaging is improved by the inclusion of global or local prior knowledge with bayesian methods. Journal of Magnetic Resonance Imaging
Academic article
While, Peter Thomas; Meissner, Markus V; Korvink, Jan G.. (2018) Insertable biplanar gradient coils for magnetic resonance microscopy: Theoretical minimization of power dissipation for different fabrication methods. Biomedical Engineering & Physics Express
Academic article
Spengler, Nils; While, Peter Thomas; Meissner, Markus V; Wallrabe, Ulrike; Korvink, Jan G.. (2017) Magnetic Lenz lenses improve the limit-of-detection in nuclear magnetic resonance. PLOS ONE
Academic article
While, Peter Thomas; Teruel, Jose Ramon; Vidic, Igor; Bathen, Tone Frost; Goa, Pål Erik. (2017) Relative enhanced diffusivity: noise sensitivity, protocol optimization, and the relation to intravoxel incoherent motion. Magnetic Resonance Materials in Physics, Biology and Medicine
Academic article
While, Peter Thomas. (2017) A comparative simulation study of bayesian fitting approaches to intravoxel incoherent motion modeling in diffusion-weighted MRI. Magnetic Resonance in Medicine
Academic article
MacKinnon, Neil; While, Peter Thomas; Korvink, Jan G.. (2016) Novel selective TOCSY method enables NMR spectral elucidation of metabolomic mixtures. Journal of magnetic resonance (San Diego, Calif. 1997 : Print)
Academic article

Part of book/report

While, Peter Thomas. (2018) Advanced Methods for IVIM Parameter Estimation.
Chapter

Outreach

Note:

The conference abstracts below are retrieved automatically from the Cristin database and show only up to the first six authors. A full list of published journal articles can be found on my Google Scholar page (incl. pre-2016).